kani
prusti-dev
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kani | prusti-dev | |
---|---|---|
47 | 23 | |
1,885 | 1,460 | |
6.8% | 2.0% | |
9.5 | 8.8 | |
7 days ago | 13 days ago | |
Rust | Rust | |
Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
kani
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The C Bounded Model Checker: Criminally Underused
This is also the backend for Kani - Amazon's formal verification tool for Rust.
https://github.com/model-checking/kani
- BoletÃn AWS Open Source, Christmas Edition
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The Wizardry Frontier
Nice read! Rust has pushed, and will continue to push, the limits of practical, bare metal, memory safe languages. And it's interesting to think about what's next, maybe eventually there will be some form of practical theorem proving "for the masses". Lean 4 looks great and has potential, but it's still mostly a language for mathematicians. There has been some research on AI constructed proofs, which could be the best of both worlds because then the type checker can verify that the AI generated code/proof is indeed correct. Tools like Kani are also a step forward in program correctness.
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Kani 0.40.0 has been released!
Ease setup in Amazon Linux 2 by @adpaco-aws in #2833
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Kani 0.39.0 has been released!
Limit --exclude to workspace packages by @tautschnig in #2808
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Kani 0.38.0 has been released !
Here's a summary of what's new in version 0.38.0:
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CVE-2023-4863: Heap buffer overflow in WebP (Chrome)
> those applications need the proof for correctness so that more dangerous code---say, what would need `unsafe` in Rust---can be safely added
There are actually already tools built for this very purpose in Rust (see Kani [1] for instance).
Formal verification has a serious scaling problem, so forming programs in such a way that there are a few performance-critical areas that use unsafe routines seems like the best route. I feel like Rust leans into this paradigm with `unsafe` blocks.
[1] - https://github.com/model-checking/kani
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Kani 0.36.0 has been released!
Enable concrete playback for failure of UB checks by @zhassan-aws in https://github.com/model-checking/kani/pull/2727
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Kani 0.34.0 has been released!
Change default solver to CaDiCaL by @celinval in https://github.com/model-checking/kani/pull/2557 By default, Kani will now run CBMC with CaDiCaL, since this solver has outperformed Minisat in most of our benchmarks. User's should still be able to select Minisat (or a different solver) either by using #[solver] harness attribute, or by passing --solver= command line option.
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Kani 0.33.0 has been released!
Add support for sysconf by feliperodri in #2557
prusti-dev
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Using_Prolog_as_the_AST
> The overall goal would be to figure out classical error conditions like nill pointers deference.
> If I can figure out if a pointer will be nil in some execution branch, there is no reason why a computer cannot do the same.
Note, this is called flow-sensitive typing (also called type narrowing) and I think that typescript does it.
https://en.wikipedia.org/wiki/Flow-sensitive_typing
> I personally would see this as an human race level upgrades. Imagine feeding your code to a CI that spit back something like: "you will have a panic at line 156 when your input is > 4"
A model checker can do that!
See this
https://model-checking.github.io/kani/tutorial-kinds-of-fail...
Other techniques are also possible
https://github.com/viperproject/prusti-dev#quick-example
(Here I could link a lot of things, I just selected two Rust projects to illustrate)
This works better if you are able to provide contracts in your API that says which guarantees you provide. Alternatively, asserts are useful too.
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Programming Languages Going Above and Beyond
You might be interested in the Prusti project, which statically checks for absence of reachable panics, overflows etc. It also allows user-defined specifications such as pre and post-conditions, loop body invariants, termination checking and so on.
https://github.com/viperproject/prusti-dev
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Trying to find a crate that allows you to constrain the value of arguments in various ways via a proc macro
This is called refinement types and prusti might be the project you saw.
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rustc-plugin: A framework for writing plugins that integrate with the Rust compiler
But there's also a lot of exciting work around formal verification like Prusti.
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Is there something like "super-safe" rust?
prusti
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A plan for cybersecurity and grid safety
Efforts: seL4, Project Everest, the Prossimo project of the ISRG, Let's Encrypt, and Prusti for the Rust language
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Prop v0.42 released! Don't panic! The answer is... support for dependent types :)
Wow that sounds really cool! I'm not an expert but does that mean that one day you could implement dependend types or refinement types in Rust as a crate ? I currently only know of tools like: Flux Creusot Kani Prusti
- Prusti: Static Analyzer for Rust
What are some alternatives?
awesome-rust-formalized-reasoning - An exhaustive list of all Rust resources regarding automated or semi-automated formalization efforts in any area, constructive mathematics, formal algorithms, and program verification.
MIRAI - Rust mid-level IR Abstract Interpreter
Rudra - Rust Memory Safety & Undefined Behavior Detection
gdbstub - An ergonomic, featureful, and easy-to-integrate implementation of the GDB Remote Serial Protocol in Rust (with no-compromises #![no_std] support)
automem - C++-style automatic memory management smart pointers for D
rmc - Kani Rust Verifier [Moved to: https://github.com/model-checking/kani]
tectonic - A modernized, complete, self-contained TeX/LaTeX engine, powered by XeTeX and TeXLive.
watt - Runtime for executing procedural macros as WebAssembly
rust - Empowering everyone to build reliable and efficient software.
rustig - A tool to detect code paths leading to Rust's panic handler
magmide - A dependently-typed proof language intended to make provably correct bare metal code possible for working software engineers.